Data Analysis and Probability

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Data Analysis and Probability Standard











1. Read, construct and interpret line graphs, circle graphs and


histograms.







http://www.glencoe.com/sec/math/msmath/mac04/course2/webquest/unit1.php/oh

http://www.ohiorc.org/features/oh_mathematics/learning_conductor/lessons.aspx

http://www.glencoe.com/sec/math/msmath/mac04/course2/webquest/unit1.php/oh

http://www.ohiorc.org/features/oh_mathematics/learning_conductor/lessons.aspx

http://www.ohiorc.org/features/oh_mathematics/learning_conductor/lessons.aspx

http://illuminations.nctm.org/LessonDetail.aspx?ID=L199


http://www.utdanacenter.org/mathtoolkit/instruction/lessons/6_around....

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http://www.usatoday.com/educate/mathtoday/reg_activities/Colleges.pdf

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2. Select, create and use graphical representations that are appropriate

for the type of data collected.






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http://www.usatoday.com/educate/mathtoday/reg_activities/Planets.pdf

http://www.utdanacenter.org/mathtoolkit/instruction/lessons/5_legs.ph...

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3. Compare representations of the same data in different types of


graphs, such as a bar graph and circle graph.




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http://www.ohiorc.org/features/oh_mathematics/learning_conductor/lessons.aspx













































4. Understand the different information provided by measures of


center (mean, mode and median) and measures of spread (range).


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http://www.sciencenetlinks.com/lessons.cfm?DocID=108




























5. Describe the frequency distribution of a set of data, as shown in a

histogram or frequency table, by general appearance or shape; e.g.,

number of modes, middle of data, level of symmetry, outliers.



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6. Make logical inferences from statistical data.




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http://nces.ed.gov/nationsreportcard/itmrls/qtab.asp?listarr=%221992-...

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7. Design an experiment to test a theoretical probability and explain

how the results may vary.






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